Temporary Research Specialist - ML​/AI in Agriculture

Overview

The Sihi Biogeochemistry Lab at North Carolina State University seeks a motivated and skilled computational scientist to support and advance research at the intersection of soil biogeochemistry and ecosystem modeling. The ideal candidate will have strong expertise in R and Python programming, with applications in data analysis, statistical modeling, and machine learning for environmental and ecological systems. This position offers the opportunity to work on cutting-edge research integrating field data, laboratory measurements, and computational models to better understand carbon and nutrient dynamics, soil health, and greenhouse gas emissions in natural and managed ecosystems.

• Develop, train, and evaluate machine learning models (e.g., regression, classification, time-series, and deep learning where appropriate) to analyze soil, plant, and ecosystem datasets
• Process, clean, integrate, and manage large, heterogeneous datasets from field measurements, laboratory experiments, and public environmental databases
• Apply AI/ML methods to predict soil carbon and nutrient dynamics, soil health indicators, and greenhouse gas fluxes
• Implement workflows in Python and/or R for reproducible data analysis, model development, and visualization
• Perform feature engineering, model validation, uncertainty analysis, and performance benchmarking
• Integrate machine learning outputs with process-based or ecosystem models to support biogeochemical research
• Create clear visualizations, summaries, and documentation of model results for publications, reports, and presentations
• Collaborate with interdisciplinary team members to translate ecological research questions into computational and AI-driven solutions
• Maintain well-documented code using version control (e.g., Git) and follow best practices for reproducible research

• Minimum: 4 year degree; or an equivalent combination of training and/or related experience
• Strong proficiency in Python or R for scientific computing and data analysis
• Experience with version control, data visualization, and statistical modeling
• Ability to work independently and as part of a collaborative research team
• Preferred: MS in Electrical and Computer Engineering/Computer Science or 2 years of experience after BS in Computer Science
• Fluency with ML/AI tools

Job City & State: Raleigh, NC

Department: Plant and Microbial Biology

Classification

Title:

Temporary-Technical/Paraprofessional

Working Title: Temporary Research Specialist - ML/AI Applications in Agriculture

• Work Schedule: 21/hrs per week, flexible
• Other Work/Responsibilities: n/a
• Required License or Certification: n/a
• Valid NC Driver's License required? No
• Commercial Driver's License Required? No

Anticipated Hiring Range: $20/hr

Job Open Date: 02/03/2026

Quick Link: (Use the "Apply for this Job" box below)./226782

EEO: NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact  to speak with a representative of the Office of Equal Opportunity.

If you have general questions about the application process, you may contact Human Resources at  or workatncstate. Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit. NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.